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09/12/2023
Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection
Identification of the family to which a malware specimen belongs is esse...
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08/23/2023
A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces
Since thermal imagery offers a unique modality to investigate pain, the ...
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07/25/2023
Exploring the Sharpened Cosine Similarity
Convolutional layers have long served as the primary workhorse for image...
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06/28/2023
cuSLINK: Single-linkage Agglomerative Clustering on the GPU
In this paper, we propose cuSLINK, a novel and state-of-the-art reformul...
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06/27/2023
Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile
Differential privacy (DP) is the prevailing technique for protecting use...
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06/16/2023
You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks
The robustness of modern machine learning (ML) models has become an incr...
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06/10/2023
Vista-Morph: Unsupervised Image Registration of Visible-Thermal Facial Pairs
For a variety of biometric cross-spectral tasks, Visible-Thermal (VT) fa...
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06/09/2023
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora
When investigating a malicious file, searching for related files is a co...
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06/06/2023
LEACE: Perfect linear concept erasure in closed form
Concept erasure aims to remove specified features from a representation....
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05/31/2023
Recasting Self-Attention with Holographic Reduced Representations
In recent years, self-attention has become the dominant paradigm for seq...
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04/24/2023
Sparse Private LASSO Logistic Regression
LASSO regularized logistic regression is particularly useful for its bui...
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04/03/2023
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
How do large language models (LLMs) develop and evolve over the course o...
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03/18/2023
The Challenge of Differentially Private Screening Rules
Linear L_1-regularized models have remained one of the simplest and most...
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02/18/2023
When Visible-to-Thermal Facial GAN Beats Conditional Diffusion
Thermal facial imagery offers valuable insight into physiological states...
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02/17/2023
Measuring Equality in Machine Learning Security Defenses
The machine learning security community has developed myriad defenses fo...
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01/15/2023
A Coreset Learning Reality Check
Subsampling algorithms are a natural approach to reduce data size before...
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12/05/2022
Efficient Malware Analysis Using Metric Embeddings
In this paper, we explore the use of metric learning to embed Windows PE...
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11/23/2022
Lempel-Ziv Networks
Sequence processing has long been a central area of machine learning res...
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11/03/2022
Crosslingual Generalization through Multitask Finetuning
Multitask prompted finetuning (MTF) has been shown to help large languag...
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10/16/2022
A General Framework for Auditing Differentially Private Machine Learning
We present a framework to statistically audit the privacy guarantee conf...
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09/05/2022
Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training
The quantification of uncertainty is important for the adoption of machi...
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06/13/2022
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
Due to the computational cost of running inference for a neural network,...
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06/09/2022
Neural Bregman Divergences for Distance Learning
Many metric learning tasks, such as triplet learning, nearest neighbor r...
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06/07/2022
Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware Detection
Data augmentation has been rare in the cyber security domain due to tech...
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04/18/2022
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance
Generating and editing images from open domain text prompts is a challen...
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04/09/2022
A Siren Song of Open Source Reproducibility
As reproducibility becomes a greater concern, conferences have largely c...
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04/08/2022
Does the Market of Citations Reward Reproducible Work?
The field of bibliometrics, studying citations and behavior, is critical...
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04/07/2022
Intelligent Sight and Sound: A Chronic Cancer Pain Dataset
Cancer patients experience high rates of chronic pain throughout the tre...
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02/28/2022
Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop at AAAI 2022
The workshop will focus on the application of AI to problems in cyber se...
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02/18/2022
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks
We explore the utility of information contained within a dropout based B...
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02/14/2022
Continuously Generalized Ordinal Regression for Linear and Deep Models
Ordinal regression is a classification task where classes have an order ...
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01/19/2022
Neural Language Models are Effective Plagiarists
As artificial intelligence (AI) technologies become increasingly powerfu...
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12/28/2021
Rank-1 Similarity Matrix Decomposition For Modeling Changes in Antivirus Consensus Through Time
Although groups of strongly correlated antivirus engines are known to ex...
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12/27/2021
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech
Learning to understand grounded language, which connects natural languag...
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11/29/2021
MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels
Malware family classification is a significant issue with public safety ...
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09/23/2021
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels
In some problem spaces, the high cost of obtaining ground truth labels n...
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09/23/2021
Adversarial Transfer Attacks With Unknown Data and Class Overlap
The ability to transfer adversarial attacks from one model (the surrogat...
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09/05/2021
Learning with Holographic Reduced Representations
Holographic Reduced Representations (HRR) are a method for performing sy...
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08/09/2021
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints
The detection of malware is a critical task for the protection of comput...
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06/15/2021
Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labels
Thermal images reveal medically important physiological information abou...
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06/15/2021
Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery
The use of Machine Learning has become a significant part of malware det...
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05/06/2021
Exact Acceleration of K-Means++ and K-Means
K-Means++ and its distributed variant K-Means have become de facto tools...
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04/13/2021
Semiring Primitives for Sparse Neighborhood Methods on the GPU
High-performance primitives for mathematical operations on sparse vector...
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03/01/2021
Accounting for Variance in Machine Learning Benchmarks
Strong empirical evidence that one machine-learning algorithm A outperfo...
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12/17/2020
Research Reproducibility as a Survival Analysis
There has been increasing concern within the machine learning community ...
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12/17/2020
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
Recent works within machine learning have been tackling inputs of ever-i...
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11/16/2020
Sampling Approach Matters: Active Learning for Robotic Language Acquisition
Ordering the selection of training data using active learning can lead t...
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10/22/2020
Getting Passive Aggressive About False Positives: Patching Deployed Malware Detectors
False positives (FPs) have been an issue of extreme importance for anti-...
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09/22/2020
The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data
With the increased attention on thermal imagery for Covid-19 screening, ...
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09/06/2020